# Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-to-predict-mortality-and-critical-events-in-a-cohort-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Akhil Vaid,Sulaiman Somani,Adam Russak,Jessica K. De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Samuel Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O’Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon‐Cardo,Valentı́n Fuster,Dennis S. Charney,David L. Reich,Erwin P. Böttinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C. Just,Alexander W. Charney,Girish N. Nadkarni,Benjamin S. Glicksberg |
| Citations | 240 |
| DOI | 10.2196/24018 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.jmir.org/2020/11/e24018/PDF |
| OpenAlex ID | https://openalex.org/W3092436046 |
| PMID | 33027032 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Girish N. Nadkarni](https://scholariq.org/researchers/girish-n-nadkarni/)
- [Felix Richter](https://scholariq.org/researchers/felix-richter/)

## Paper journal

- [Journal of Medical Internet Research](https://scholariq.org/journals/journal-of-medical-internet-research/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.